TSMC - Taiwan Semiconductor Manufacturing Company Limited
AI Research Scientist(6239)
TSMC - Taiwan Semiconductor Manufacturing Company Limited, California, Missouri, United States, 65018
Overview of Role
Taiwan Semiconductor Manufacturing Company (TSMC) is seeking applications for skilled Artificial Intelligence (AI) Research Scientists for their Artificial Intelligence for Business Intelligence (AI4BI) Center. Applicants should have graduated with a Ph.D. in the past 1-2 years in computer science, information systems, information science, statistics, systems and industrial engineering, or related AI or machine learning field. The AI4BI Center is a global and international team that seeks to develop advanced AI-enabled analytics techniques to facilitate important business intelligence applications highly relevant to TSMC. This role will be based in our San Jose office in a hybrid working environment (working four days in the office). Individuals in this position may be responsible for tasks across two technical areas: designing and implementing machine learning, deep learning, text mining, large language model (LLM), foundation model, and/or network science-based approaches to extract insights from structured and unstructured data sources, as well as developing time series modelling and/or reinforcement learning-based approaches for analysing fab tool productivity and wafer start strategies. This role requires close interaction and coordination with international teams of research scientists, data engineers, and business stakeholders to gather requirements, oversee development, evaluate outputs of technical solutions, produce internal reports, and co-author publications at top-tier AI venues.
Responsibilities
Create and manage advanced machine learning, deep learning, LLM, foundation models, time-series modelling, and/or reinforcement learning algorithms to develop data-driven solutions for complex business problems
Analyze and interpret complicated datasets to provide actionable insights that aid in decision-making
Work with cross-functional and international teams to identify and prioritize data-driven opportunities, including developing and deploying predictive models to drive business outcomes
Collaborate with senior data scientists, other junior data scientists, and data engineers to develop and uphold efficient procedures for gathering, retaining, and scrutinizing data
Work in teams with data engineers
Continuously assess and refine model performance to ensure precision and dependability
Communicate insights and recommendations via internal reports to technical and non-technical stakeholders
Design and implement the latest AI, machine learning, and data science tools and techniques to enhance existing processes based on feedback and guidance from senior data scientists
Minimum Qualifications
Ph.D. in computer science, information systems, information science, statistics, or related AI or machine learning field in the past 1-2 years
4-5 years of AI/ML experience
Proficient in Python, GitHub, and Markdown for data wrangling, pre-processing, and extraction from structured and unstructured datasources
Strong conceptual and practical knowledge of classical machine learning algorithms and learning paradigms (supervised and unsupervised)
Strong skills in fundamental deep learning implementation, including data encodings, processing units, and learning paradigms
Ability to adapt ML/DL algorithms to unique dataset characteristics and business requirements
Strong practical network science skills and experience
Hands-on experience with text analytics for named entity recognition, sentiment analysis, and topic modelling
Hands-on research experience with time series modelling and forecasting using statistical, ML, DL, and/or foundation model (TimesFM) approaches
Hands-on research experience with reinforcement learning (value-based, policy-based, actor-critic, and/or multi-objective)
Hands-on research experience including literature review, model design, implementation, evaluation, and publication
Experience fine-tuning LLMs and other foundation models with strategies such as low-rank adaptation and few-shot learning
Experience with prompt engineering on LLMs and foundation models, including techniques such as reinforcement learning (e.g., DPO, PPO), prompt tuning, etc.
Knowledge of deploying models into user-interface tools for dashboards (e.g., PowerBI), Python frameworks for rapid prototyping (e.g., Streamlit, Dash), and/or JavaScript frameworks (e.g., React)
Willingness to travel to Taiwan for at least 1-3 months each year for training, team building, and project coordination
Preferred Qualifications
Knowledge of processing text in financial, accounting, and market analysis reports
Multilingual text analysis using packages like Stanza, Polyglot, or Textflint
Knowledge of graph embedding techniques (graph convolutional networks, graph attention networks, graph transformers) using packages such as StellarGraph, PyG, or Deep Graph Library
Understanding of neural information retrieval methods, including deep structured semantic models, entity resolution, and retrieval augmented generation (RAG)
Familiarity with learning paradigms such as adversarial learning, knowledge distillation, and self-supervised learning
Experience working with foundation models for language (e.g., LLaMA), time (e.g., TimesFM), and other data modalities
Publications in leading AI conferences (e.g., NeurIPS, ICLR, ICML, KDD) and/or journals (IEEE TKDE, ACM TOIS)
Company Description As a trusted technology and capacity provider, TSMC is driven by the desire to be the world’s leading dedicated semiconductor foundry and technology leader with a strong reputation for manufacturing excellence. TSMC pursues semiconductor manufacturing innovations to enable the future of technology. The company serves a global ecosystem of customers and partners, with operations spanning Asia, Europe, and North America.
In North America, TSMC has a strong sales and service organization that helps customers achieve silicon success with cutting-edge technologies and manufacturing excellence. The company continues to accelerate R&D investment and is expanding its manufacturing footprint to support customer innovation.
Diversity statement TSMC Technology, Inc. is committed to employing a diverse workforce and provides Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, disability, veteran status, genetic information, or any other characteristic protected by applicable law. We are committed to treating all employees and applicants with respect and dignity. If you require reasonable accommodation during the application or recruiting process, please notify us at G_Accommodations@tsmc.com.
Pay Transparency Statement At TSMC, base pay is part of the total compensation package. This role typically pays a base salary between $150,000 and $230,000 per year. The posted range reflects minimum and maximum targets for new hires; actual pay may be higher or lower based on skills, qualifications, experience, position level, and location. Total compensation includes market-competitive pay, allowances, bonuses, and comprehensive benefits, along with development opportunities and programs.
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Responsibilities
Create and manage advanced machine learning, deep learning, LLM, foundation models, time-series modelling, and/or reinforcement learning algorithms to develop data-driven solutions for complex business problems
Analyze and interpret complicated datasets to provide actionable insights that aid in decision-making
Work with cross-functional and international teams to identify and prioritize data-driven opportunities, including developing and deploying predictive models to drive business outcomes
Collaborate with senior data scientists, other junior data scientists, and data engineers to develop and uphold efficient procedures for gathering, retaining, and scrutinizing data
Work in teams with data engineers
Continuously assess and refine model performance to ensure precision and dependability
Communicate insights and recommendations via internal reports to technical and non-technical stakeholders
Design and implement the latest AI, machine learning, and data science tools and techniques to enhance existing processes based on feedback and guidance from senior data scientists
Minimum Qualifications
Ph.D. in computer science, information systems, information science, statistics, or related AI or machine learning field in the past 1-2 years
4-5 years of AI/ML experience
Proficient in Python, GitHub, and Markdown for data wrangling, pre-processing, and extraction from structured and unstructured datasources
Strong conceptual and practical knowledge of classical machine learning algorithms and learning paradigms (supervised and unsupervised)
Strong skills in fundamental deep learning implementation, including data encodings, processing units, and learning paradigms
Ability to adapt ML/DL algorithms to unique dataset characteristics and business requirements
Strong practical network science skills and experience
Hands-on experience with text analytics for named entity recognition, sentiment analysis, and topic modelling
Hands-on research experience with time series modelling and forecasting using statistical, ML, DL, and/or foundation model (TimesFM) approaches
Hands-on research experience with reinforcement learning (value-based, policy-based, actor-critic, and/or multi-objective)
Hands-on research experience including literature review, model design, implementation, evaluation, and publication
Experience fine-tuning LLMs and other foundation models with strategies such as low-rank adaptation and few-shot learning
Experience with prompt engineering on LLMs and foundation models, including techniques such as reinforcement learning (e.g., DPO, PPO), prompt tuning, etc.
Knowledge of deploying models into user-interface tools for dashboards (e.g., PowerBI), Python frameworks for rapid prototyping (e.g., Streamlit, Dash), and/or JavaScript frameworks (e.g., React)
Willingness to travel to Taiwan for at least 1-3 months each year for training, team building, and project coordination
Preferred Qualifications
Knowledge of processing text in financial, accounting, and market analysis reports
Multilingual text analysis using packages like Stanza, Polyglot, or Textflint
Knowledge of graph embedding techniques (graph convolutional networks, graph attention networks, graph transformers) using packages such as StellarGraph, PyG, or Deep Graph Library
Understanding of neural information retrieval methods, including deep structured semantic models, entity resolution, and retrieval augmented generation (RAG)
Familiarity with learning paradigms such as adversarial learning, knowledge distillation, and self-supervised learning
Experience working with foundation models for language (e.g., LLaMA), time (e.g., TimesFM), and other data modalities
Publications in leading AI conferences (e.g., NeurIPS, ICLR, ICML, KDD) and/or journals (IEEE TKDE, ACM TOIS)
Company Description As a trusted technology and capacity provider, TSMC is driven by the desire to be the world’s leading dedicated semiconductor foundry and technology leader with a strong reputation for manufacturing excellence. TSMC pursues semiconductor manufacturing innovations to enable the future of technology. The company serves a global ecosystem of customers and partners, with operations spanning Asia, Europe, and North America.
In North America, TSMC has a strong sales and service organization that helps customers achieve silicon success with cutting-edge technologies and manufacturing excellence. The company continues to accelerate R&D investment and is expanding its manufacturing footprint to support customer innovation.
Diversity statement TSMC Technology, Inc. is committed to employing a diverse workforce and provides Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, disability, veteran status, genetic information, or any other characteristic protected by applicable law. We are committed to treating all employees and applicants with respect and dignity. If you require reasonable accommodation during the application or recruiting process, please notify us at G_Accommodations@tsmc.com.
Pay Transparency Statement At TSMC, base pay is part of the total compensation package. This role typically pays a base salary between $150,000 and $230,000 per year. The posted range reflects minimum and maximum targets for new hires; actual pay may be higher or lower based on skills, qualifications, experience, position level, and location. Total compensation includes market-competitive pay, allowances, bonuses, and comprehensive benefits, along with development opportunities and programs.
#J-18808-Ljbffr